August 19, 2020
Job Summary
● Design and Implement Scalable ML/DL models for Ad/Content personalization and optimization
● Improvement and Implementation of different recommendation algorithms for ad/content
● Developing a fault-tolerant scalable system covering all fail-safe scenarios
● Develop and maintain model deployment pipelines for many types of machine learning including supervised and unsupervised learning as well as CNNs, RNNs or other deep learning algorithms
Job description
● Hands-on in Data Structure, Algorithm and Design Patterns
● Experience with data science toolkits like R, Pandas, Jupyter, scikit, TensorFlow, Numpy, IPython, PyTorch, etc.
● Experience in working with data scientists in a data engineering or production machine learning inferencing capacity, working with various types of supervised and unsupervised learning algorithms for classification, forecasting, recommendation, anomaly detection, clustering and segmentation, as well as CNNs, RNNs or other deep learning algorithms
● Understanding of Unsupervised Models and Experience in Implementing BERT/GPT types transformer-based models
● Knowledge of Python, JAVA (Core and Advance) concepts, Java 8 or GoLang
● Knowledge of distributed systems and microservices.
● Knowledge of Redis, Kafka, and MySql
● Excellent problem solving
● Communicate and design technical architecture, resolve organizational use cases and propose thorough innovative solutions
● Should understand the Ml/DL Architecture and propose Best Case Architecture with respect to Scalability, Performance & Cost benefits
● POC of new technologies/design to make system scalable
● Project development with AWS cloud-based services (S3, EC2, Cloudfront, etc.)
● Deep understanding of AWS, Docker, Teraform etc
● Excellent knowledge of Linux and Windows systems
Education Background and Qualification (essential and desired)
● Btech/Masters in Computer Science,, Electrical Engineering or a related field
● Minimum 5+ years of experience in Designing and implementing Machine Learning models and algorithms
● Prior technical work experience in any big digital/tech firm in adtech/ecommerce would be beneficial.
● Big data: Experience with Distributed system such as Hadoop, Hive, Spark, Kafka, Vertica is preferred
Offered Pay Amount
Pay Amount : Rs.Industry
Data Analysisnumber of openings :
1Qualification :
Prior technical work experience in any big digital/tech firm in adtech/ecommerce would be beneficial. ● Big data: Experience with Distributed system such as Hadoop, Hive, Spark, Kafka, Vertica is preferredJob Location